Data & Automation Analyst at Tera, working at the intersection of data engineering, marketing analytics, and business intelligence.

My current focus is building production-grade data infrastructure three-layer BigQuery warehouses, automated ETL pipelines, and dashboards that connect paid media spend to actual revenue. Long-term goal: transition into an ML/AI Engineering role with a strong data science foundation.

I care about systems that are reproducible, traceable, and actually used by decision-makers.

Data & Warehouse BigQuery Databricks SQL Python Pandas dbt (learning)

Automation & Orchestration n8n Make GitHub Actions

Frontend & BI React TypeScript Vite Shadcn/UI Looker Studio

Integrations HubSpot API Meta Ads API Google Ads API LinkedIn Ads API

ML & Analytics scikit-learn statsmodels NumPy

Infra Docker VPS Git

• Paid Media Dashboard — ROAS/ROI analytics via UTM-to-CRM joins (Meta, Google, LinkedIn → HubSpot → BigQuery)
• Sales Analytics Dashboard — Pipeline and conversion tracking across HubSpot + SpreadChat
• 3-Layer BigQuery Architecture — raw → staging → mart for a tech education company

• Applied ML for marketing and growth (attribution, churn, LTV)
• Data architecture and warehouse design
• Statistical modeling applied to business problems
• Automation at scale with Python and low-code tools